Top Healthtech Data & Analytics Jobs

Design, implement, and maintain dbt/Snowflake ELT transformations to convert raw clinical and multimodal health data into trusted, analysis-ready models; enforce data quality, lineage, testing, CI/CD, and documentation; collaborate with clinical and ML teams to harmonize ontologies and support de-identification and ETL across health systems.

Design, develop, and maintain enterprise Power BI reports, dashboards, and semantic models for healthcare, finance, and operations. Build complex DAX measures, optimize performance, administer Power BI Service (security, refreshes, gateways, deployment), establish governance, and collaborate with stakeholders to translate requirements into actionable analytics.

Lead design, development, and standardization of enterprise data systems and governance. Define ingestion, storage, modeling, quality, and analytics strategies; drive cross-team solutions, automation, and technology adoption; ensure security, compliance, and scalable data platform evolution.

Design, develop, test and maintain BI solutions and analytics (reports, dashboards, queries) for clinical, financial and operational stakeholders. Gather requirements, implement data warehousing patterns, debug and support Epic-based analytics, and provide 24/7 on-call support.

Entry-level analyst supporting healthcare digital experience measurement across SEO/GEO, web and app analytics, tag management, and reporting. Assist with audits, tracking implementation, GA4/Heap dashboards, and basic SQL/R/Python data tasks while learning to present findings to clients within a cross-functional consulting team.

Lead Data Engineer needed to architect data pipelines and infrastructure, oversee projects for user requirements, and ensure compliance with regulations. Role includes developing systems for data tracking and mentoring the team to solve complex data challenges.

Design, implement, and maintain ETL pipelines and data movement between on‑premises systems and cloud platforms (Microsoft Fabric). Use low-code/no-code tools, AI, and automation to deliver real‑time reporting and analytics. Monitor performance, test and validate data flows, integrate SaaS and on‑prem systems, document solutions, and collaborate with IT, researchers, and business units to meet data requirements and improve processes.

Design, build, and maintain enterprise ETL/ELT pipelines and cloud-native data solutions using Azure Databricks, ADF, Azure SQL/Synapse, and Python. Optimize data models and SQL performance, support Power BI datasets, improve data quality and governance, monitor production pipelines, mentor junior engineers, and collaborate with architects, analysts, and stakeholders to modernize the enterprise data platform for analytics and AI.

Provide data analysis and executive-level reporting to support strategic and operational decision-making. Collect, clean, analyze data from multiple sources, build dashboards and KPIs, recommend process and program improvements, and support program planning, execution, monitoring, and adoption of data-driven practices.

Senior technical data analyst who develops and deploys analytics, builds advanced reports and visualizations, communicates insights to senior leaders, mentors junior analysts, and applies product/project management practices to align analytic projects with clinical and operational goals.